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https://issues.apache.org/jira/browse/HBASE-4463?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Karthik Ranganathan updated HBASE-4463:
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Description: The number of iops on the disk and the top of the rack
bandwidth utilization at off peak hours is much lower than at peak hours
depending on the application usage pattern. We can utilize this knowledge to
improve the performance of the HBase cluster by increasing the compact
selection ratio to a much larger value during off-peak hours than otherwise -
increasing hbase.hstore.compaction.ratio (1.2 default) to
hbase.hstore.compaction.ratio.offpeak (5 default). This will help reduce the
average number of files per store. (was: The number of iops on the disk and
the top of the rack bandwidth utilization at off peak hours is much lower than
at peak hours depending on the application usage pattern. We can utilize this
knowledge to improve the performance of the HBase cluster by increasing the
compact selection ratio to a much larger value during off-peak hours than
otherwise - increasing hbase.hstore.compaction.ratio (1.3 default) to
hbase.hstore.compaction.ratio.offpeak (5 default). This will help reduce the
average number of files per store.)
> Run more aggressive compactions during off peak hours
> -----------------------------------------------------
>
> Key: HBASE-4463
> URL: https://issues.apache.org/jira/browse/HBASE-4463
> Project: HBase
> Issue Type: Improvement
> Components: regionserver
> Reporter: Karthik Ranganathan
> Assignee: Karthik Ranganathan
>
> The number of iops on the disk and the top of the rack bandwidth utilization
> at off peak hours is much lower than at peak hours depending on the
> application usage pattern. We can utilize this knowledge to improve the
> performance of the HBase cluster by increasing the compact selection ratio to
> a much larger value during off-peak hours than otherwise - increasing
> hbase.hstore.compaction.ratio (1.2 default) to
> hbase.hstore.compaction.ratio.offpeak (5 default). This will help reduce the
> average number of files per store.
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